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handling large data streams. Build foundational knowledge in AI and machine-learning approaches for predictive modeling in grain-quality assessment. Learn how deterioration in stored grain develops
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quality and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how physical and chemical fiber parameters relate to dye uptake behavior, dyebath exhaustion, color
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well as exploring the application of research findings to advanced 3D models such as organoids and 3D bioprinted tissues Learning about high-content, automated phenotypic drug screening pipelines against high
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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translational vaccinology within a highly collaborative research network. Within this opportunity, you will be engaged in the following learning objectives: Applying machine-learning/AI platforms including
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
. Evaluation of Vaccinal Efficacy: You learn how to evaluate the vaccinal efficacy of Marek's disease virus vector vaccines, including experimental design, data collection, and analysis to assess vaccine
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to perform literature reviews on biological agents and toxins Learning how to collect and analyze program data Understanding how to develop training materials for inspectors Understanding how to engage with
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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– $6,430.00 Monthly Point of Contact Sara Beth Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and